Leveraging Knowledge Graphs and Deep Learning for automatic art analysis

作者：

Highlights：

• Automatic art analysis can promote a deeper understanding of fine arts.

• Knowledge Graphs and Deep Learning can provide tools to support this analysis.

• We introduce ArtGraph, an artistic Knowledge Graph.

• We present a classification method that jointly exploits visual and graph embeddings.

• The approach can help bridge the gap between the Humanities and Computer Science.

摘要

•Automatic art analysis can promote a deeper understanding of fine arts.•Knowledge Graphs and Deep Learning can provide tools to support this analysis.•We introduce ArtGraph, an artistic Knowledge Graph.•We present a classification method that jointly exploits visual and graph embeddings.•The approach can help bridge the gap between the Humanities and Computer Science.

论文关键词：Knowledge graphs,Artificial intelligence,Deep learning,Computer vision,Graph neural networks,Digital humanities,Fine arts

论文评审过程：Received 15 November 2021, Revised 14 April 2022, Accepted 16 April 2022, Available online 23 April 2022, Version of Record 20 May 2022.

论文官网地址：https://doi.org/10.1016/j.knosys.2022.108859